Create app.py

app.py

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+import gradio as gr
+from setfit import AbsaModel
+
+# Load the ABSA model (assuming indo-setfit-absa-bert-base-restaurants is the aspect extraction model)
+model = AbsaModel.from_pretrained(
+    "firqaaa/indo-setfit-absa-bert-base-restaurants-aspect",
+    "firqaaa/indo-setfit-absa-bert-base-restaurants-polarity",
+    spacy_model="id_core_news_trf",
+)
+
+def analyze_text(text):
+  """
+  Analyzes the input text using the ABSA model and returns aspects and sentiment.
+
+  Args:
+      text: The text to be analyzed.
+
+  Returns:
+      A dictionary containing aspects and sentiment.
+  """
+  aspects, sentiments = model.predict(text)
+  return {"Aspek": aspects, "Sentimen": sentiments}
+
+description = "Analisa Aspek dan Sentimen Review Restoran"
+title = "Analisa Review Restoran Anda"
+examples = [["Makanannya enak, tapi pelayanannya lambat."]]
+
+interface = gr.Interface(
+    fn=analyze_text,
+    inputs="textbox",
+    outputs="dict",
+    interpretation="text",
+    description=description,
+    title=title,
+    examples=examples
+)
+
+interface.launch()